METHOD: This study presents the publication trends, research landscape, and scientific developments related to safety management systems (SMS) based on published documents from the Elsevier Scopus database. Published documents on SMS and indexed in Scopus are identified, screened, and analyzed to examine the publication trends, research developments, and scientific landscape. For this purpose, Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), bibliometric analysis (B.A.), and systematic literature review (SLR) procedures are used. The results reveal that 799 related documents were published between 2001 and 2021.
RESULTS: The most productive stakeholders, that is, top researchers, affiliations, and countries, include Liesbeth Jacxsens, Universiteit Gent (Belgium), and the United States. This study shows that the availability of research grants, incentives, or awards is critical to the productivity of top researchers, institutions, and nations actively researching SMS topics. The bibliometric analysis reveals that the topic is characterized by high productivity, co-authorships, keyword occurrence, and citations.
CONCLUSION: The analysis shows that SMS research is a broad, multidimensional, and impactful area that has become essential for identifying, reducing, monitoring, and eliminating risks in many industries. It is concluded that the topic of the SMS remains relevant because of its impact on human health, occupational safety, and environmental well-being.
PRACTICAL APPLICATIONS: This study provides in-depth insight into expanding the scope of SMS research. Moreover, research and policymakers can facilitate decision-making and collaboration based on this study's outtakes.
OBJECTIVE: This paper aims to introduce a GAN technology for the diagnosis of eye disorders, particularly glaucoma. This paper illustrates deep adversarial learning as a potential diagnostic tool and the challenges involved in its implementation. This study describes and analyzes many of the pitfalls and problems that researchers will need to overcome to implement this kind of technology.
METHODS: To organize this review comprehensively, articles and reviews were collected using the following keywords: ("Glaucoma," "optic disc," "blood vessels") and ("receptive field," "loss function," "GAN," "Generative Adversarial Network," "Deep learning," "CNN," "convolutional neural network" OR encoder). The records were identified from 5 highly reputed databases: IEEE Xplore, Web of Science, Scopus, ScienceDirect, and PubMed. These libraries broadly cover the technical and medical literature. Publications within the last 5 years, specifically 2015-2020, were included because the target GAN technique was invented only in 2014 and the publishing date of the collected papers was not earlier than 2016. Duplicate records were removed, and irrelevant titles and abstracts were excluded. In addition, we excluded papers that used optical coherence tomography and visual field images, except for those with 2D images. A large-scale systematic analysis was performed, and then a summarized taxonomy was generated. Furthermore, the results of the collected articles were summarized and a visual representation of the results was presented on a T-shaped matrix diagram. This study was conducted between March 2020 and November 2020.
RESULTS: We found 59 articles after conducting a comprehensive survey of the literature. Among the 59 articles, 30 present actual attempts to synthesize images and provide accurate segmentation/classification using single/multiple landmarks or share certain experiences. The other 29 articles discuss the recent advances in GANs, do practical experiments, and contain analytical studies of retinal disease.
CONCLUSIONS: Recent deep learning techniques, namely GANs, have shown encouraging performance in retinal disease detection. Although this methodology involves an extensive computing budget and optimization process, it saturates the greedy nature of deep learning techniques by synthesizing images and solves major medical issues. This paper contributes to this research field by offering a thorough analysis of existing works, highlighting current limitations, and suggesting alternatives to support other researchers and participants in further improving and strengthening future work. Finally, new directions for this research have been identified.
METHODS: A literature search was conducted with the use of three online databases namely, Web of Science, Scopus, and ScienceDirect. Developed keywords strategy was used to include only the relevant articles. A Population Intervention Comparison Outcomes (PICO) strategy was used to develop the inclusion and exclusion criteria. Image quality was analyzed quantitatively based on peak signal-noise-ratio (PSNR), Mean Squared Error (MSE), Absolute Mean Brightness Error (AMBE), Entropy, and Contrast Improvement Index (CII) values.
RESULTS: Nine studies with four types of image enhancement techniques were included in this study. Two studies used histogram-based, three studies used frequency-based, one study used fuzzy-based and three studies used filter-based. All studies reported PSNR values whilst only four studies reported MSE, AMBE, Entropy and CII values. Filter-based was the highest PSNR values of 78.93, among other types. For MSE, AMBE, Entropy, and CII values, the highest were frequency-based (7.79), fuzzy-based (93.76), filter-based (7.92), and frequency-based (6.54) respectively.
CONCLUSION: In summary, image quality for each image enhancement technique is varied, especially for breast cancer detection. In this study, the frequency-based of Fast Discrete Curvelet Transform (FDCT) via the UnequiSpaced Fast Fourier Transform (USFFT) shows the most superior among other image enhancement techniques.
Material and methods: We conducted literature search from Medline, Scopus and Web of Science on clinical studies related to streptokinase-induced hypotension.
Results: Our search yielded 972 citations. After removal of duplicates, 878 articles were screened for eligibility, of which 856 papers were excluded due to various reasons. Of the remaining 22 articles retrieved with full texts, eight relevant articles were selected for final analysis. Three themes emerged as the proposed mechanisms of streptokinase-induced hypotension, including (i) reduction in total peripheral resistance, (ii) complement activation, and (iii) dismissal of hypotheses involving other intermediaries.
Conclusions: Our findings suggest that the underlying mechanism of streptokinase-induced hypotension lies primarily in the reduction in total peripheral resistance.
METHODS: We performed a comprehensive literature search in Web of Science, PubMed/Medline, Scopus, and Embase databases from inception up to January 2020. We included only randomized controlled trials (RCTs). We used weighted mean difference (WMD) with 95% confidence interval (CI) to assess the influence of omega-3 supplementation on serum 25(OH)D levels using the random-effects model.
RESULTS: Our pooled results of 10 RCTs demonstrated an overall significant increase in 25(OH)D levels following omega-3 intake (WMD = 3.77 ng/ml, 95% CI: 1.29, 6.25). In addition, 25(OH)D levels were significantly increased when the intervention duration lasted >8 weeks and when the baseline serum 25(OH)D level was ˂20 ng/ml. Moreover, omega-3 intake ≤1000 mg/day resulted in higher 25(OH)D levels compared to omega-3 intake >1000 mg/day.
CONCLUSION: In conclusion, omega-3 supplementation increased 25(OH)D concentrations, particularly with dosages ≤1000 mg/day and intervention durations >8 weeks.
METHODS: This descriptive and retrospective study was conducted within a 10-year period (2008-2017), in which all articles published in five specialized Iranian journals of environmental health engineering were reviewed using a researcher-made checklist. The information collected in the checklist included: the year of publication, number of issues and articles, information about the status of authors' participation in terms of number of authors, sex, institutional affiliation, country, continents, and research centers. Descriptive and inferential statistics such as index of dispersion, measures of central tendency, and Chi-square and t tests were used to statistically analyze the data. Besides, VOSviewer software was used to visualize the data.
RESULTS: The review of 1276 articles published in 102 issues of the five journals of environmental health engineering in Iran showed that 184 articles were written with the participation of researchers from other countries. Most articles with the participation of international authors during the last decade were published in 2014. Chi-square test indicated a significant difference in the publication of these articles within 2014-2015 than other years (P = 0.001). Among the five journals, the best participation of international researchers was observed in J Environ Health Sci Engineer (168 articles, 91.3%). Considering the number of joint articles with Iran, the top continents were Asia, Europe, and Africa each with 117, 52, and 32 articles, respectively. India, Turkey, and Malaysia had the highest level of cooperation with Iranian researchers with 53, 16, and 14 articles, respectively. 637 authors contributed in 184 articles, of whom 469 (73.6%) were male and 121 (18.9%) were female. T test was used to compare the mean number of male and female authors in the articles with or without the participation of international researchers, which showed no significant difference.
CONCLUSION: International contribution of researchers in compilation of specialized environmental health articles was good. Given the low level of cooperation between researchers from developed European and American countries and their Iranian counterparts, it seems necessary to adopt different methods to attract more collaboration from researchers working in developed countries considering their significant role in health-related areas.
METHODS: Elsevier's Scopus was used to search and analyze the 50 most frequently cited scientific papers. After the screening process, two reviewers arranged the articles in a descending order based on their citation counts. Each article was then cross-matched with Google Scholar. The articles were analyzed, and information including citation counts, citation density, publication year, authorship, contributing institutions and countries, article topic, study design, and keywords was extracted.
RESULTS: The literature search identified 2421 articles. The citation counts of the 50 selected articles varied from 117 to 580 (Scopus) and 206 to 1130 (Google Scholar). The year in which most top 50 articles were published was 2002 (n = 5). Among 105 authors, the greatest contribution was made by JO Andreasen (n = 12). Most of the articles originated from the United States (n = 12) with the greatest contributions from the University Hospital (Rigshospitalet), Copenhagen, Denmark (n = 6). Original research article was the most frequent study design (n = 34). The majority of the top 50 articles were focused on traumatic dental injuries. Among 131 unique key words, root resorption (n = 6) was the most frequently used. A non-significant correlation occurred between citation count (correlation coefficient = 0.127, P = .378), citation density (correlation coefficient = 0.654, P = 2.493), and publication age.
CONCLUSIONS: This study identified the top 50 most cited articles published in this journal in the specialty of Dental Traumatology. The publication year of an article was not significantly associated with citation count nor citation density.
Methods: Four electronic databases including Embase, Medline (via Ovid), Scopus and Google Scholar were searched from inception until October 2019 to identify the studies reporting fentanyl related deaths. Two independent reviewers screened and selected the titles and then evaluated the full texts. Only case studies and case series were included. A structured data extraction tool was used to extract data on the number of deaths, routes of administration, concomitant drug use and toxicological data. The Joanna Briggs Institute quality assessment tool was used to evaluate the quality of included studies. Data were synthesized narratively.
Results: Of 1251 articles identified during initial search, 8 case reports and 9 case series met the inclusion criteria. A total of 1969 deaths were reported in the included studies. Deaths were concentrated in the north American region (n = 1946) and the Nordic region (n = 22). Reported causes of death included fentanyl overdose (n = 321, 56.4%), mixed drug toxicity (n = 196, 34.5%), natural (n = 28, 4.9%), other drug toxicity (n = 10, 1.8%), fentanyl and ethanol intoxication (n = 8, 1.4%), incidental (n = 5, <1%) and aspiration (n = 1). Most common routes of use were intravenous (70.5%) and transdermal routes (23.0%). Deaths came swiftly via the intravenous route. Mean level of blood fentanyl amongst all reported deaths was 0.024 µg/mL.
Conclusion: Literature related to fentanyl-associated deaths predominantly come from North America. Deaths are comparatively lower or not reported in peer-reviewed publications from the rest of the world. Abuse through intravenous administration, mixed drug toxicities and self-treatment of breakthrough pain are mainly responsible for majority of the reported deaths.